Kernel Operator-Theoretic Bayesian Filter for Nonlinear Dynamical Systems

Kan Li, José C. Príncipe

Motivated by the surge of interest in Koopman operator theory, we propose a machine-learning alternative based on a functional Bayesian perspective for operator-theoretic modeling…